---
title: "Client Pilot Data Spring 2020"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    social: menu
    source_code: embed
    vertical_layout: scroll
    theme: cerulean
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(rio)
library(here)
library(colorblindr)
library(gghighlight)
library(forcats)
library(ggrepel)
library(gt)
library(knitr)
library(kableExtra)
library(reactable)
library(plotly)
library(patchwork)

opts_chunk$set(echo = FALSE,
               fig.width = 5,
               fig.height = 6)

theme_set(theme_minimal(base_size = 8))

outcome <- import(here("data", "client_data_outcome.sav"),
               setclass = "tbl_df") %>% 
  characterize() %>% 
  janitor::clean_names() 

rm_prge <- import(here("data", "repeated_measures_prge.sav"),
               setclass = "tbl_df") %>% 
  characterize() %>% 
  janitor::clean_names() 

head(outcome)
head(rm_prge)


```

# PRGE 

Column {data-width=650}
-----------------------------------------------------------------------

### PRGE Outcome Measures
```{r outcome measures data organization, include=FALSE}
head(outcome)

outcome_tidy <- outcome %>% 
  select(1:11) %>% 
  rename("PCSS Pre Score" = pcss_pre,
         "PCSS Post Score" = pcss_post,
         "HIT Pre Score" = hit_pre,
         "HIT Post Score" = hit_post,
         "CLASS Pre Score" = class_total_pre,
         "CLASS Post Score" = class_total_post,
         "BRIEF SR Pre Score" = brief_pre_self,
         "BRIEF Parent Pre Score" = brief_pre_inf,
         "BRIEF SR Post Score" = brief_post_self,
         "BRIEF Parent Post Score" = brief_post_inf) %>% 
  pivot_longer(
    cols = c(2:11),
    names_to = "measure",
    values_to = "score"
  )

ggplot(outcome_tidy, aes(measure, score)) +
  geom_col() +
  coord_flip()

head(outcome)

brief <- outcome %>% 
  select(client, brief_pre_self, brief_post_self, brief_pre_inf, brief_post_inf)

brief_tidy <- brief %>% 
  rename("BRIEF SR Pre Score" = brief_pre_self,
         "BRIEF SR Post Score" = brief_post_self,
         "BRIEF Parent Pre Score" = brief_pre_inf,
         "BRIEF Parent Post Score" = brief_post_inf) %>% 
  pivot_longer(
    cols = c(2:5),
    names_to = "measure",
    values_to = "score"
  )

class <- outcome %>% 
  select(client, class_total_pre, class_total_post) %>% 
  rename("CLASS Pre Score" = class_total_pre,
         "CLASS Post Score" = class_total_post)

class_tidy <- class %>% 
   pivot_longer(
    cols = c(2:3),
    names_to = "measure",
    values_to = "score"
  )

symptoms <- outcome %>% 
  select(client, pcss_pre, pcss_post, hit_pre, hit_post) %>% 
  rename("PCSS Pre Score" = pcss_pre,
         "PCSS Post Score" = pcss_post,
         "HIT Pre Score" = hit_pre,
         "HIT Post Score" = hit_post) %>% 
  pivot_longer(
    cols = c(2:5),
    names_to = "measure",
    values_to = "score"
  )
```

```{r outcome plots, include=FALSE}

p1 <- ggplot(brief_tidy, aes(measure, score)) +
  geom_col(fill = "blue", 
           alpha = 0.7) +
  coord_flip() +
  geom_text(aes(measure, score, label = score),
            nudge_y = -3,
            color = "white") +
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.x = element_blank(),
        panel.grid.major.x = element_line(color = "gray80")) +
  theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
        axis.text = element_text(size = 10),
        axis.title=element_text(size=10),
        strip.text = element_text(size = 10)) +
  labs(x = "",
       y = "Score",
       title = "PRGE BRIEF Scores") 
p1

p2 <- ggplot(class_tidy, aes(measure, score)) +
  geom_col(fill = "blue", 
           alpha = 0.7) +
  coord_flip() +
  geom_text(aes(measure, score, label = score),
            nudge_y = -3,
            color = "white") +
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.x = element_blank(),
        panel.grid.major.x = element_line(color = "gray80")) +
  theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
        axis.text = element_text(size = 10),
        axis.title=element_text(size=10),
        strip.text = element_text(size = 10)) +
  labs(x = "",
       y = "Score",
       title = "PRGE CLASS Scores") 
 p2


p3 <- ggplot(symptoms, aes(measure, score)) +
  geom_col(fill = "blue", 
           alpha = 0.7) +
  coord_flip() +
  geom_text(aes(measure, score, label = score),
            nudge_y = -3,
            color = "white") +
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.x = element_blank(),
        panel.grid.major.x = element_line(color = "gray80")) +
  theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
        axis.text = element_text(size = 10),
        axis.title=element_text(size=10),
        strip.text = element_text(size = 10)) +
  labs(x = "",
       y = "Score",
       title = "PRGE Symptom Checklist Results") 

p3
```


```{r pathwork outcomes, include=TRUE}
p1 + p2 + p3 +plot_layout(ncol = 1)

```


Column {data-width=350}
-----------------------------------------------------------------------

### Chart B

```{r}

```